Research on optimization and enhancement strategy of disaster prevention and mitigation management for power grid equipment to cope with extreme weather
- DOI
- 10.2991/978-2-38476-130-2_28How to use a DOI?
- Keywords
- Disaster; Weather; Equipment; Management; System
- Abstract
In recent years, China has experienced frequent extreme weather events such as heavy rainstorms, typhoons, and freezing temperatures, which have caused significant damage to the power grid equipment and directly impacted the safe and stable operation of the electricity network. Power grid equipment, as the essential physical components of the power grid system, possesses characteristics such as wide coverage and the ability to traverse complex environments. The majority of power equipment is directly exposed to the external environment and is greatly affected by climate change. Implementing effective disaster prevention and mitigation management for power grid equipment is of significant importance for the development of power grid companies as well as the economy and society as a whole.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Qian Zhang AU - Guangrui Tang AU - Bingxin Zeng PY - 2023 DA - 2023/10/29 TI - Research on optimization and enhancement strategy of disaster prevention and mitigation management for power grid equipment to cope with extreme weather BT - Proceedings of the 2023 2nd International Conference on Public Culture and Social Services (PCSS 2023) PB - Atlantis Press SP - 228 EP - 233 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-130-2_28 DO - 10.2991/978-2-38476-130-2_28 ID - Zhang2023 ER -